Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2003.04514
Cited By
v1
v2
v3 (latest)
Diversity inducing Information Bottleneck in Model Ensembles
AAAI Conference on Artificial Intelligence (AAAI), 2020
10 March 2020
Samarth Sinha
Homanga Bharadhwaj
Anirudh Goyal
Hugo Larochelle
Animesh Garg
Florian Shkurti
BDL
UQCV
Re-assign community
ArXiv (abs)
PDF
HTML
Github (6★)
Papers citing
"Diversity inducing Information Bottleneck in Model Ensembles"
31 / 31 papers shown
ACE and Diverse Generalization via Selective Disagreement
Oliver Daniels
Stuart Armstrong
Alexandre Maranhao
Mahirah Fairuz Rahman
Benjamin M. Marlin
Rebecca Gorman
OODD
269
0
0
09 Sep 2025
Quantifying Correlations of Machine Learning Models
International Conference on Software Testing, Verification and Validation Workshops (ICST), 2025
Yuanyuan Li
Neeraj Sarna
Yang Lin
426
0
0
06 Feb 2025
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
Anh-Vu Bui
Vy Vo
Tung Pham
Dinh Q. Phung
Trung Le
FedML
UQCV
313
1
0
19 Mar 2024
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs
S. C. Mouli
Danielle C. Maddix
S. Alizadeh
Gaurav Gupta
Andrew Stuart
Michael W. Mahoney
Yuyang Wang
UQCV
AI4CE
321
8
0
15 Mar 2024
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
International Conference on Learning Representations (ICLR), 2023
Karsten Roth
Lukas Thede
Almut Sophia Koepke
Oriol Vinyals
Olivier J. Hénaff
Zeynep Akata
AAML
356
17
0
26 Oct 2023
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning
Amirhossein Vahidi
Lisa Wimmer
H. Gündüz
B. Bischl
Eyke Hüllermeier
Mina Rezaei
OOD
UQCV
328
4
0
28 Aug 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OOD
UQCV
266
6
0
08 Apr 2023
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
425
21
0
01 Feb 2023
A Unified Theory of Diversity in Ensemble Learning
Journal of machine learning research (JMLR), 2023
Danny Wood
Tingting Mu
Andrew M. Webb
Henry W. J. Reeve
M. Luján
Gavin Brown
UQCV
492
92
0
10 Jan 2023
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network
Hua Hua
Jun Yan
Xi Fang
Weiquan Huang
Huilin Yin
Wancheng Ge
AAML
207
2
0
25 Oct 2022
Variational Distillation for Multi-View Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xudong Tian
Zhizhong Zhang
Cong Wang
Wensheng Zhang
Yanyun Qu
Lizhuang Ma
Zongze Wu
Yuan Xie
Dacheng Tao
289
18
0
20 Jun 2022
Agree to Disagree: Diversity through Disagreement for Better Transferability
International Conference on Learning Representations (ICLR), 2022
Matteo Pagliardini
Martin Jaggi
Franccois Fleuret
Sai Praneeth Karimireddy
372
85
0
09 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data
Yoonho Lee
Huaxiu Yao
Chelsea Finn
524
75
0
07 Feb 2022
Improving robustness and calibration in ensembles with diversity regularization
German Conference on Pattern Recognition (GCPR), 2022
H. A. Mehrtens
Camila González
Anirban Mukhopadhyay
UQCV
201
11
0
26 Jan 2022
Lyapunov Exponents for Diversity in Differentiable Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Jonathan Lorraine
Paul Vicol
Jack Parker-Holder
Tal Kachman
Luke Metz
Jakob N. Foerster
211
9
0
24 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
Qi Tian
Kun Kuang
Baoxiang Wang
Furui Liu
Leilei Gan
440
0
0
20 Dec 2021
Graph Structure Learning with Variational Information Bottleneck
Qingyun Sun
Jianxin Li
Hao Peng
Hongzhi Zhang
Xingcheng Fu
Cheng Ji
Philip S. Yu
279
214
0
16 Dec 2021
No One Representation to Rule Them All: Overlapping Features of Training Methods
International Conference on Learning Representations (ICLR), 2021
Raphael Gontijo-Lopes
Yann N. Dauphin
E. D. Cubuk
373
70
0
20 Oct 2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks
Zhilu Zhang
Vianne R. Gao
M. Sabuncu
UQCV
287
7
0
09 Jun 2021
Greedy Bayesian Posterior Approximation with Deep Ensembles
A. Tiulpin
Matthew B. Blaschko
UQCV
FedML
318
4
0
29 May 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Agostina J. Larrazabal
Cesar E. Martínez
Jose Dolz
Enzo Ferrante
UQCV
257
25
0
22 May 2021
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification
IEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Yun Yvonna Li
Zhe Liu
Lina Yao
Can Wang
VLM
358
30
0
22 Apr 2021
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance
Pattern Recognition Letters (PR), 2021
Nikolay Dagaev
Brett D. Roads
Xiaoliang Luo
Daniel N. Barry
Kaustubh R. Patil
Bradley C. Love
271
13
0
12 Feb 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
IEEE International Conference on Computer Vision (ICCV), 2021
Alexander Cui
Sergio Casas
Abbas Sadat
Renjie Liao
R. Urtasun
504
161
0
16 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
International Conference on Learning Representations (ICLR), 2021
Alexandre Ramé
Matthieu Cord
FedML
308
60
0
14 Jan 2021
StackMix: A complementary Mix algorithm
John Chen
Samarth Sinha
Anastasios Kyrillidis
161
3
0
25 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Information Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
1.1K
2,440
0
12 Nov 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Huanrui Yang
Jingyang Zhang
Hongliang Dong
Nathan Inkawhich
Andrew B. Gardner
Andrew Touchet
Wesley Wilkes
Heath Berry
Xue Yang
AAML
224
130
0
30 Sep 2020
On Power Laws in Deep Ensembles
Neural Information Processing Systems (NeurIPS), 2020
E. Lobacheva
Nadezhda Chirkova
M. Kodryan
Dmitry Vetrov
UQCV
334
47
0
16 Jul 2020
Diverse Ensembles Improve Calibration
Asa Cooper Stickland
Iain Murray
UQCV
FedML
237
29
0
08 Jul 2020
Uniform Priors for Data-Efficient Transfer
Samarth Sinha
Karsten Roth
Anirudh Goyal
Marzyeh Ghassemi
Hugo Larochelle
Animesh Garg
OOD
288
0
0
30 Jun 2020
1
Page 1 of 1
